Senior Data Architect
4 weeks ago
Job Summary:
Yati Technology is seeking an experienced Data Engineer with a strong background in Azure Data Lake to design, build, and maintain large-scale data solutions. The ideal candidate will have at least 6 years of experience in designing and optimizing data infrastructure to ensure efficient handling of large volumes of data for business intelligence and analytics.
Key Responsibilities:
- Data Solution Design: Develop and maintain data pipelines, data storage solutions, and data processing workflows using Azure Data Lake, Azure SQL Database, Azure Blob Storage, and other Azure services.
- Data Integration and ETL: Create and manage ETL processes to extract, transform, and load data from various sources into data lakes and data warehouses using Azure Data Factory.
- Big Data and Analytics: Utilize big data technologies such as Azure Databricks and Apache Spark to handle and analyze large volumes of data.
- Data Security and Compliance: Ensure data security protocols are followed and comply with company and regulatory standards.
- Collaboration: Work closely with data architects, data scientists, and IT teams to understand data needs and design effective data workflows.
- Performance Optimization: Optimize data storage and processing for performance and cost-efficiency.
Qualifications:
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: Minimum of 6 years of experience in data engineering, with a focus on Azure Data Lake and other Azure data services.
Technical Skills:
- Proficiency in Azure Data Lake, Azure SQL Database, Azure Blob Storage, and Azure Data Factory.
- Experience with big data technologies such as Azure Databricks and Apache Spark.
- Strong knowledge of ETL processes and data integration techniques.
- Familiarity with data security and compliance standards.
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